Data Engineer - Life Sciences - Python, SQL, ETL

March 19

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TetraScience

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Experimental Data • Life Sciences • Data Integration • Cloud Computing • ML/AI

51 - 200

Description

• Own, prototype, and implement customer solutions. • Research and prototype data acquisition strategy for scientific lab instrumentation. • Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries). • Design and build data models. • Design and build Python data pipelines, unit tests, integration tests, and utility functions. • Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc. • Work with the customer to test and make sure the solution fulfills their requirements and solves their need. • Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings. • Facilitate internal project post-mortems to identify areas of improvement on the next implementation.

Requirements

• >5 years in Python and SQL. • Passionate about science and building solutions to make the data more accessible to the end-users. • Elasticsearch, science background, or experience with scientific instruments. • Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them). • Undergraduate or graduate degree in chemistry, biology, computer science, statistics, public health, etc. • Excellent communications skills, attention to details, and the confidence to take control of project delivery. • Quickly understand a highly technical product and effectively communicate with product management and engineering. • Strong project, account management, and proactive problem-solving skills. • High-bandwidth: thrives when managing multiple simultaneous projects. • Intellectually curious: Unwavering drive to learn and know more every day. • Ability to think creatively on how to solve projects risks without reducing quality. • Team player and ability to 'roll up your sleeves' and do what it takes to make the team successful.

Benefits

• Competitive Salary and equity in a fast-growing company. • Supportive, team-oriented culture of continuous improvement. • Generous paid time off (PTO). • Flexible working arrangements - Remote work.